Proteomics

Dataset Information

0

Single-cell transcriptional profiling identifies a spectrum of unconventional intraepithelial T lineage cells in human cord blood


ABSTRACT: Conventional CD4 and CD8 single positive T cell lineages constitute the main differentiation pathway in the thymus. In human thymus, a minor TCRαβ differentiation pathway diverges from the early double positive stage, consisting of CD10+ PD-1+ cells. These cells are phenotypically and functionally similar to murine agonist-selected intraepithelial T lymphocyte precursors (IELps) which home to the small intestine. Here, the progeny of the human agonist-selected IEL lineage was identified in antigen-inexperienced cord blood (CB) with a polyclonal T cell receptor (TCR) repertoire exhibiting a bias towards early TCR alpha chain rearrangements and elevated autoreactive indices. Single-cell RNA sequencing allowed further delineation of this unconventional lineage in CB. Trajectory analysis, along with TCR repertoire analysis, transcriptomics and proteomics, suggests a precursor-progeny relationship with the thymic IELps. The distinct, heterogeneous CB population can now be defined as CD3+ TCRαβ+ CD4- CCR7- CD26-. Besides recent thymic emigrants, this population also consists of newly identified effector clusters and previously described populations: the suppressive NK receptor expressing CD8+ Treg population, the KIR/NKG2A+ EOMES+ virtual memory population and the CD8αα+ T cell populations. The population shows a discriminating stable HELIOS expression and is exclusively able to downregulate CD8β expression, resulting in double negative T cells. The functional properties of this population suggest that the cells expand on inflammatory cues and exert cytotoxic and proinflammatory activity.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): T Cell, Umbilical Cord Blood, Thymus

SUBMITTER: Rupert Mayer  

LAB HEAD: Bart Vandekerckhove

PROVIDER: PXD033392 | Pride | 2023-02-10

REPOSITORIES: Pride

Similar Datasets

2023-03-07 | GSE201809 | GEO
2023-03-07 | GSE201810 | GEO
2023-03-07 | GSE201808 | GEO
2011-06-20 | E-TABM-550 | biostudies-arrayexpress
2015-03-04 | GSE64191 | GEO
2015-03-04 | E-GEOD-64191 | biostudies-arrayexpress
2021-02-01 | GSE164895 | GEO
2020-02-21 | E-MTAB-8581 | biostudies-arrayexpress
2022-05-31 | GSE201675 | GEO
2017-05-01 | E-GEOD-78697 | biostudies-arrayexpress